Part 2: The Promise vs the Risk Welcome back to Part 2 of our 5-part series on the risk of AI in networks. This time, BackBox CEO Rekha Shenoy focuses on transparency, an extremely important topic when evaluating the promise versus the risk of AI in networks. Transparency is top of mind for enterprise buyers […]
Part 2: The Promise vs the Risk This is the second installment in Part 2 of our 5-part series, where BackBox CEO Rekha Shenoy discusses key questions about the promise versus the risk of AI in networks. Here, we explore why AI hallucinations, bias, and data quality issues are especially serious in network automation. In
Part 2: The Promise vs the Risk In Part 1 of this 5-part series on AI’s impact on networks, BackBox experts addressed common questions to help set the stage for AI adoption. In Part 2, we examine the promise versus the risk of AI in networks. To kick off Part 2, BackBox CEO Rekha Shenoy
Part 1: Setting the Stage Finally, our fourth question helps set the stage in our 5-part series about AI’s impact on networks. This time, BackBox Field CTO Irfahn Khimji discusses where AI is currently helping defenders. AI has emerged as an essential asset in strengthening network cyber resilience. It enables faster response times, optimizes resource
Part 1: Setting the Stage The third question in our 5-part series about AI’s impact on networks is a good one! Artificial Intelligence (AI) has become both a headwind and a tailwind for enterprises, as hackers exploit vulnerabilities in days that could have taken months or years to identify in the past. At the same
Part 1: Setting the Stage If you are following along, this is our second question to help set the stage in our 5-part series, where we’ll answer common questions about AI’s effect on networks. BackBox VP of Infrastructure and Technology, Richard Phillips, discusses AI’s role in real-world environments where network and security teams must assume
Part 1: Setting the Stage Artificial Intelligence (AI) presents both challenges and advantages for businesses, as hackers exploit vulnerabilities faster than ever. At the same time, AI strengthens network cyber resilience by improving response times, resource use, reducing alert fatigue, and allowing for more focused remediation. The fast rise of AI has sparked excitement and